| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "She turned back [back]" |
| | dialogueSentences | 58 | | tagDensity | 0.345 | | leniency | 0.69 | | rawRatio | 0.05 | | effectiveRatio | 0.034 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1311 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1311 | | totalAiIsms | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 62 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1322 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 74.62% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 796 | | uniqueNames | 4 | | maxNameDensity | 1.51 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.746 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1322 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 100 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 22.41 | | std | 22.26 | | cv | 0.993 | | sampleLengths | | 0 | 21 | | 1 | 28 | | 2 | 6 | | 3 | 57 | | 4 | 6 | | 5 | 4 | | 6 | 17 | | 7 | 47 | | 8 | 4 | | 9 | 4 | | 10 | 42 | | 11 | 13 | | 12 | 80 | | 13 | 5 | | 14 | 1 | | 15 | 52 | | 16 | 20 | | 17 | 5 | | 18 | 3 | | 19 | 54 | | 20 | 2 | | 21 | 55 | | 22 | 6 | | 23 | 13 | | 24 | 2 | | 25 | 66 | | 26 | 16 | | 27 | 3 | | 28 | 29 | | 29 | 3 | | 30 | 2 | | 31 | 85 | | 32 | 16 | | 33 | 10 | | 34 | 2 | | 35 | 1 | | 36 | 1 | | 37 | 26 | | 38 | 57 | | 39 | 4 | | 40 | 3 | | 41 | 55 | | 42 | 31 | | 43 | 47 | | 44 | 8 | | 45 | 29 | | 46 | 2 | | 47 | 16 | | 48 | 28 | | 49 | 1 |
| |
| 99.60% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 62 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 145 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 100 | | ratio | 0.06 | | matches | | 0 | "Halfway, the air changed — colder, dry, with something under it, sweet and burnt, like a bakery that had caught fire a week ago." | | 1 | "The body lay in the mouth of the northbound tunnel, forty feet along, arranged the way a man lies when he's fallen from standing — one arm folded under, the other flung, the cheek pressed to the sleeper." | | 2 | "\"Pathologist's guessing exsanguination.\" Fowler consulted nothing; he never wrote anything down until it was over." | | 3 | "Fowler crouched and swept his torch flat across the swept concrete, and in the low raking light Quinn saw them: prints, dozens, scores, layered — bare feet, boots, something narrow with a long heel — all pressed into the fine grey film that had settled since the last sweep." | | 4 | "She had gone still — the stillness her old sergeant used to call the off switch, the thirty or forty seconds where she stopped being in the room." | | 5 | "And the sweeping berms along the walls were on both sides, uniform, undisturbed — nobody had brushed the floor after the crowd went, because the crowd's prints were still there." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 793 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.025220680958385876 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 13.22 | | std | 11.54 | | cv | 0.873 | | sampleLengths | | 0 | 21 | | 1 | 28 | | 2 | 6 | | 3 | 20 | | 4 | 37 | | 5 | 6 | | 6 | 4 | | 7 | 8 | | 8 | 9 | | 9 | 18 | | 10 | 29 | | 11 | 4 | | 12 | 4 | | 13 | 10 | | 14 | 24 | | 15 | 8 | | 16 | 7 | | 17 | 6 | | 18 | 23 | | 19 | 22 | | 20 | 3 | | 21 | 32 | | 22 | 3 | | 23 | 2 | | 24 | 1 | | 25 | 46 | | 26 | 6 | | 27 | 7 | | 28 | 13 | | 29 | 5 | | 30 | 3 | | 31 | 28 | | 32 | 1 | | 33 | 9 | | 34 | 16 | | 35 | 2 | | 36 | 36 | | 37 | 19 | | 38 | 3 | | 39 | 3 | | 40 | 13 | | 41 | 2 | | 42 | 38 | | 43 | 15 | | 44 | 13 | | 45 | 16 | | 46 | 3 | | 47 | 15 | | 48 | 14 | | 49 | 3 |
| |
| 96.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.69 | | totalSentences | 100 | | uniqueOpeners | 69 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 54 | | matches | | 0 | "All pointing one way." | | 1 | "Then she pulled her sleeve" |
| | ratio | 0.037 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 54 | | matches | | 0 | "she asked around the torch" | | 1 | "He pushed off the wall" | | 2 | "Her breath started showing at" | | 3 | "He gestured at the hooks" | | 4 | "She counted eleven on the" | | 5 | "She squatted at the nearest" | | 6 | "She moved her torch so" | | 7 | "She ducked under the tape," | | 8 | "He almost smiled, and she" | | 9 | "They walked back to the" | | 10 | "She had gone still —" | | 11 | "They were incomplete." | | 12 | "She turned back to the" | | 13 | "She looked at it for" | | 14 | "She held it up so" |
| | ratio | 0.278 | |
| 61.85% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 54 | | matches | | 0 | "The gate at the top" | | 1 | "Quinn crouched to look at" | | 2 | "she asked around the torch" | | 3 | "DC Ade Fowler leaned against" | | 4 | "Quinn took the penlight out" | | 5 | "He pushed off the wall" | | 6 | "The stairs went down further" | | 7 | "Halfway, the air changed —" | | 8 | "Her breath started showing at" | | 9 | "The platform had been dressed" | | 10 | "That was the first wrong" | | 11 | "Sockets pocked the platform floor" | | 12 | "Someone had swept." | | 13 | "He gestured at the hooks" | | 14 | "Quinn walked the row of" | | 15 | "She counted eleven on the" | | 16 | "She squatted at the nearest" | | 17 | "She moved her torch so" | | 18 | "Fowler's jaw shifted." | | 19 | "The body lay in the" |
| | ratio | 0.796 | |
| 92.59% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 54 | | matches | | 0 | "Because the prints weren't wrong." |
| | ratio | 0.019 | |
| 45.45% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 3 | | matches | | 0 | "Halfway, the air changed — colder, dry, with something under it, sweet and burnt, like a bakery that had caught fire a week ago." | | 1 | "Male, sixties, silver stubble, a coat that had cost money when Quinn was in uniform." | | 2 | "Fowler crouched and swept his torch flat across the swept concrete, and in the low raking light Quinn saw them: prints, dozens, scores, layered — bare feet, boo…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 58 | | tagDensity | 0.103 | | leniency | 0.207 | | rawRatio | 0 | | effectiveRatio | 0 | |